SAS® Fraud Framework

Take a unique, hybrid approach to detecting and preventing fraud. A powerful fraud analytics engine uses multiple techniques to uncover more suspicious activities than ever before. Alerts are scored and prioritized based on severity, then routed to investigators for a more in-depth review.

Benefits

Detect more fraudulent activity than ever before.

Process all data (not just a sample) through advanced analytics models combined with rules engines in real time or batch. You’ll be able to detect previously unknown schemes using customized anomaly detection methods, and spot linked entities and crime rings to stem larger losses.

Gain a consolidated view of fraud risk.

Identify cross-brand/product fraud by seeing all associated customer information across all lines of business. Continuously improve models and adapt the system as needed to address changes in fraud trends. Understand new threats and prevent substantial losses early using social network diagrams and sophisticated data mining techniques.

Stop fraud before losses occur.

Stop fraud in its tracks using online, real-time scoring or daily batch scoring. Identify repeat offenders and more accurately score incoming data by searching databases of known fraudsters. Uncover insider or collusive fraud by integrating staff data and audit records. And apply risk- and value-based scoring models to prioritize output for investigators.

We have an excellent working relationship with SAS. They took the time to learn from us and truly understand the nuances of claims fraud at CNA so that we could build effective predictive models for each line of our business.